Data-driven realistic animation of large-scale forest

Chengfang Song, Yang Yu, Yingzhen Yang, Fazhi He, Qing Zhu, Qunsheng Peng

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A data-driven scheme to animate the dynamic swaying of large-scale forest in the wind is proposed. We first calculate the accurate deformations of exemplar trees under different wind conditions by dynamical finite element method to obtain the high resolution displacement sequences of each skeletal segment of those trees at pre-processing stage. Then we conduct clustered principal component analysis to compress and simplify the displacement data of the skeleton segments of each tree. Subsequently, multiple levels of motion details (LOMD) of those trees are constructed with well-adjusted parameters. The dynamic swaying of large-scale forest is finally animated by synthesizing the motion of each tree with view-dependent LOMD. Our experiments demonstrate that the proposed scheme gains both efficiency and realism and thus is favorable for producing high-quality video and media advertisements.

Original languageEnglish (US)
Pages (from-to)1015-1022
Number of pages8
JournalJisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Volume20
Issue number8
StatePublished - Aug 2008
Externally publishedYes

Keywords

  • Computer animation
  • Data-driven approach
  • Forest
  • Level of motion details

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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